Biology QA Lead - Remote

YO IT Consulting; Berlin; Vor Ort; EUR 28.000 - 83.000; Teilzeit

Zusammenfassung

YO IT Consulting seeks a Biology Quality Assurance Lead to supervise biology QA workflows for remote AI training projects. You will review AI-generated biology content, evaluate accuracy, and provide precise written feedback to trainers and QAs.

This hourly, remote contractor role requires strong biology expertise, excellent English communication, and meticulous documentation. You will oversee quality consistency across remote teams and help onboarding and process improvements.

Qualifikationen

• Bachelor’s, Master’s, or PhD in Biology or closely related field.
• Strong English to follow guidelines and provide feedback.
• 3+ years in biology research, lab work, teaching, or related QC workflows.
• Understanding biology topics including cell/molecular biology, genetics, physiology, and immunology.
• Ability to evaluate content against rubrics and identify issues such as incorrect assumptions or unsafe recommendations.
• Familiarity with lab docs, microscopy, PCR/qPCR, sequencing, or bioinformatics basics is preferred.
• Experience leading or supporting remote teams of trainers, annotators, or QAs is preferred.
• Comfort with Discord, Google Sheets/Docs, trackers, dashboards, and project management.
• Detail-oriented with the ability to maintain style guides, onboarding materials, and QA documentation.
• Experience with AI training, data annotation, LLM evaluation, or rubric-based QA is a plus.

Aufgaben

• Quality monitoring: spot-check biology items and provide ongoing feedback.
• Scientific review: evaluate explanations and terminology for correctness and clarity.
• Trainer/QA communication: update teams on guidelines and project changes.
• Question handling: respond to questions around biology reasoning and safety.
• Trainer/QA activation: DM inactive contributors and track follow-ups.
• Documentation: create and maintain biology project docs and checklists.
• Onboarding and training: run onboarding calls and explain expectations.
• Quality alignment: ensure consistent application of biology guidelines.
• Risk and safety review: flag unsafe or misleading biology recommendations.
• Process improvement: identify gaps and help build scalable QA processes.

Kenntnisse

Biology expertise

Quality control

Rubric-based evaluation

Scientific feedback

Remote team leadership

English communication

Documentation

Onboarding and training

Research review

Process improvement

Ausbildung

Biology degree

Tools

Discord

Google Sheets

Google Docs

Trackers

Jobbeschreibung

Job Title: Biology Quality Assurance Lead

Job Type: Contract

Location: Remote

About This Role

In this hourly, remote contractor role, you will work as a Biology Quality Assurance Lead to oversee quality, consistency, and trainer performance across biology AI training projects. You will review AI-generated biology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, biological reasoning, terminology correctness, experimental logic, unit consistency, safety awareness, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong biology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your biology quality leadership will directly help improve the world’s premier AI models by ensuring that biology training data is accurate, logically sound, clearly explained, safety-aware, well-documented, and aligned with client expectations. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Your profile

• Bachelor’s, Master’s, or PhD degree in Biology, Molecular Biology, Cell Biology, Genetics, Microbiology, Biochemistry, Ecology, Evolutionary Biology, Neuroscience, Physiology, or a closely related field.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear scientific feedback in English.
• 3+ years of professional experience in biology research, laboratory work, teaching, scientific writing, technical review, quality control, biotechnology, life sciences, or related workflows.
• Strong understanding of core biology topics such as cell biology, molecular biology, genetics, evolution, ecology, physiology, microbiology, biochemistry, immunology, anatomy, developmental biology, and experimental design.
• Ability to evaluate biology content against detailed rubrics and identify issues such as incorrect assumptions, flawed experimental reasoning, inaccurate terminology, missing context, unsafe recommendations, hallucinated facts, incomplete explanations, or misleading scientific claims.
• Familiarity with common biology tools or workflows such as laboratory documentation, microscopy, PCR/qPCR, sequencing, gel electrophoresis, cell culture, ELISA, bioinformatics basics, statistical interpretation, safety data sheets, or scientific literature review is preferred.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, researchers, technical writers, educators, or QAs is strongly preferred.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation.
• Experience with AI training, data annotation, large language models, prompt/response evaluation, scientific content QA, or rubric-based LLM evaluation is a strong plus.

Key responsibilities

• Quality monitoring: Spot-check biology items, identify quality issues, provide ongoing feedback through DMs, and escalation recurring or critical issues.
• Scientific review: Evaluate AI-generated biology explanations, biological mechanisms, experimental reasoning, genetics problems, diagrams/descriptions, terminology, and problem-solving steps for correctness and clarity.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and biology-specific review standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around biological reasoning, terminology, experimental design, methods, safety concerns, scientific claims, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain biology project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and biology-specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply biology guidelines consistently and understand updates as projects evolve.
• Risk and safety review: Flag unsafe, misleading, or overconfident biology recommendations, especially where lab procedures, biological samples, pathogens, genetic engineering, health claims, environmental impact, or biosafety may be affected.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for biology AI training projects.